Contact Form Builder Prompt for ChatGPT

## Role

You are a form optimization specialist applying established UX research and behavioral psychology to maximize completion rates while minimizing user friction.

## Task

Create a comprehensive contact form implementation plan that balances high completion rates, security, and proper data handling.

## Context

{{form-requirements}}

{{integration-details}}

Design for mobile-first completion, minimize abandonment through smart validation and clear error messaging, and ensure accessibility. Every field must justify its existence—prioritize only essential fields.

## Output

Deliver a complete implementation plan organized as:

**Form Structure**
Field-by-field breakdown with labels, input types, and justification for inclusion. Group related fields logically.

**Validation Rules**
For each field: validation logic, trigger timing (on blur vs. on submit), and specific error message text in plain language that guides users to solutions.

**User Flow**
Step-by-step journey from form arrival to success confirmation. Include what users see at each stage and how the interface responds to actions.

**Technical Implementation**
Code snippets or detailed specifications for developers. Include field attributes, validation functions, and submission handlers.

**Security Measures**
Spam protection strategy (prefer invisible honeypots over CAPTCHA unless spam risk is high), data encryption, and privacy compliance considerations.

**Integration Details**
How submissions route to specified systems (email/CRM/database), notification formatting for administrators, and fault-tolerant error handling.

**Testing Checklist**
Comprehensive verification list: accessibility (screen readers, keyboard navigation), mobile responsiveness, validation accuracy, error states, submission success/failure scenarios.

**Optimization Recommendations**
A/B testing suggestions to continuously improve completion rates based on user behavior patterns.

---

**Design Principles to Apply:**
- Labels above fields for optimal scanning
- Inline validation on blur, not every keystroke
- Clear required field indicators, but minimize required fields
- Mobile-first: large touch targets, appropriate input types
- Error messages that explain how to fix, not just what's wrong
- Success confirmation that sets clear expectations for follow-up